I use short time Fourier transform to extract features from the time-series
EEG signals. Now I plan to use Wavelet that I don't have any prior
experience in.
Can someone provide a Python implementation (or MNE - btw, I couldn't
digest mne morlet for some reason!)? Also, what output I should expect, and
what features can be computed from the Wavelet transform output to be ready
to fit a learner?
A question I would also like to ask those who're concerned about feature
extraction, why would I use Wavelet over STFT, or vice versa?
If you are interested in a good explanation of what you will find
extracting features between STFT, Wavelets and eventually MP, check out
this excellent paper: http://www.jneurosci.org/content/36/12/3399.short
Your regards!
2018-08-03 20:53 GMT-03:00 Mainak Jas <mainakjas at gmail.com>:
I use short time Fourier transform to extract features from the
time-series EEG signals. Now I plan to use Wavelet that I don't have any
prior experience in.
Can someone provide a Python implementation (or MNE - btw, I couldn't
digest mne morlet for some reason!)? Also, what output I should expect, and
what features can be computed from the Wavelet transform output to be ready
to fit a learner?
A question I would also like to ask those who're concerned about feature
extraction, why would I use Wavelet over STFT, or vice versa?
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This is great! Could this library be advertised somewhere in the
MNE-Python website or documentation? This would avoid people (like me
reinventing the wheel.
This is great! Could this library be advertised somewhere in the
MNE-Python website or documentation? This would avoid people (like me
reinventing the wheel.
I did not advertise it too much so far as it's still under construction.